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Optical Engineering

New image restoration performance measure with high precision
Author(s): Sheung On Choy; Yuk-Hee Chan; Wan-Chi Siu
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Paper Abstract

The field of image restoration lacks a promising comparison vehicle for judging the effectiveness of competing algorithms. By far the most widely adopted quantitative measurement of image restoration performance is by means of the SNR improvement. We address the issues of performance assessment of image restoration and propose a unified framework for the performance measure. The SNR improvement, which is within the proposed framework, is shown to be an inappropriate performance measure for image restoration. By introducing a metric for pixel fidelity improvement and incorporating the main properties of the human visual system into the measurement, we devise a performance measure of better quality, particularly of higher precision.

Paper Details

Date Published: 1 April 1997
PDF: 9 pages
Opt. Eng. 36(4) doi: 10.1117/1.601296
Published in: Optical Engineering Volume 36, Issue 4
Show Author Affiliations
Sheung On Choy, Hong Kong Polytechnic Univ. (Hong Kong)
Yuk-Hee Chan, Hong Kong Polytechnic Univ. (Hong Kong)
Wan-Chi Siu, Hong Kong Polytechnic Univ. (Hong Kong)


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